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- research-articleMay 2023
Rule Based Fuzzy Computing Approach on Self-Supervised Sentiment Polarity Classification with Word Sense Disambiguation in Machine Translation for Hindi Language
- Shweta Chauhan,
- Jayashree Premkumar Shet,
- Shehab Mohamed Beram,
- Vishal Jagota,
- Mohammed Dighriri,
- Mohd Wazih Ahmad,
- Md Shamim Hossain,
- Ali Rizwan
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 22, Issue 5Article No.: 153, Pages 1–21https://doi.org/10.1145/3574130With increasing globalization, communication among people of diverse cultural backgrounds is also taking place to a very large extent in the present era. Issues like language diversity in various parts of the world can lead to hindrance in communication. ...
- research-articleJune 2022
Improved Unsupervised Neural Machine Translation with Semantically Weighted Back Translation for Morphologically Rich and Low Resource Languages
Neural Processing Letters (NPLE), Volume 54, Issue 3Jun 2022, Pages 1707–1726https://doi.org/10.1007/s11063-021-10702-8AbstractThe effective method to utilize monolingual data and enhance the performance of neural machine translation models is back-translation. Iteratively conducting back-translation can further improve the performance of the translation model. In back-...
- research-articleMay 2022
A Comprehensive Survey on Various Fully Automatic Machine Translation Evaluation Metrics
Neural Processing Letters (NPLE), Volume 55, Issue 9Dec 2023, Pages 12663–12717https://doi.org/10.1007/s11063-022-10835-4AbstractThe fast advancement in machine translation models necessitates the development of accurate evaluation metrics that would allow researchers to track the progress in text languages. The evaluation of machine translation models is crucial since its ...